F337 Deutsche India Private Limited, Pune Branch

<html><body> <h2> Job Description: </h2> Job Title: Engineer Location: Pune, India Corporate Title: AVP Role DescriptionAssociate Data Engineer responsible for developing, optimizing and maintaining data engineering solutions on GCP. The candidate will work independently and collaboratively within cross-functional teams, contributing to medium and large-scale projects. The role requires hands-on expertise in cloud data engineering, Java and Spark, with additional experience in Python considered a plus. The candidate should demonstrate strong problem-solving skills and a solid track record in agile environments. What we’ll offer youAs part of our flexible scheme, here are just some of the benefits that you’ll enjoy<ul><li>Best in class leave policy</li><li>Gender neutral parental leaves</li><li>100% reimbursement under childcare assistance benefit (gender neutral)</li><li>Sponsorship for Industry relevant certifications and education</li><li>Employee Assistance Program for you and your family members</li><li>Comprehensive Hospitalization Insurance for you and your dependents</li><li>Accident and Term life Insurance</li><li>Complementary Health screening for 35 yrs. and above</li></ul> Your key responsibilities This individual will be responsible for the following:<ul><li>Operate as a team member within a Scrum Agile/Kanban team</li><li>Design, develop and peer-review new data engineering functionality using GCP and Java</li><li>Build and optimize scalable data pipelines using Spark and cloud-native tools</li><li>Collaborate with stakeholders to understand requirements and deliver robust solutions</li><li>Ensure code quality through unit and system-level testing</li><li>Support data sourcing, transformation, and analytics development</li><li>Maintain documentation and contribute to process improvements</li></ul> Your skills and experience<ul><li>4–9 years of hands-on experience in data engineering, with a focus on GCP.</li><li>Proficient in Java programming; experience with Python is a plus</li><li>Strong experience with Spark and cloud data engineering tools (e.g., DataFlow, CloudComposer, Cloud Storage, Cloud Functions, Dataproc)</li><li>Solid understanding of databases (RDBMS, SQL)</li><li>Familiarity with data security and data quality concepts (Consistency, Completeness, Accuracy, Lineage)</li><li>Passionate about test-driven development and agile methodologies</li></ul> Preferable Skills <ul><li>Experience in financial services, regulatory environments, or cross-product domains</li><li>Data visualization experience</li><li>Hands-on business and systems knowledge in a compliance or regulatory delivery environment</li></ul> Education / Qualifications Req Degree in a numerate field (e.g., Computer Science/Information Technology, Engineering) Language Required Good knowledge of English How we’ll support you<ul><li>Training and development to help you excel in your career</li><li>Coaching and support from experts in your team</li><li>A culture of continuous learning to aid progression</li><li>A range of flexible benefits that you can tailor to suit your needs</li></ul> About us and our teamsPlease visit our company website for further information: <a href="https://www.db.com/company/company.html" target="_blank"> https://www.db.com/company/company.html </a>We strive for a <a target="_blank" href="https://careers.db.com/inside-deutsche-bank/our-culture">culture </a>in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.<div> <div> <div> <div>Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.We welcome applications from all people and promote a positive, fair and inclusive work environment.</div> </div> </div></div></body></html>

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